ZIP code
74127
in Tulsa, OklahomaPopulation 16,324
32.65/ 100
Ranked #30,137 of 32,066 US ZIPs (bottom 6.1%)
Ranked #537 of 634 Oklahoma ZIPs (bottom 15%)
Ranked #75 of 88 Tulsa, OK ZIPs (bottom 14.8%)
Ranks are modeled estimates — ZIPs a few hundred places apart are effectively tied.
What defines this ZIP
Metrics where this ZIP sits in the tails of the national distribution — the ones that most set it apart. Select any tile for its definition and methodology.
Industrial-pollution burden
in the top 0.5% nationally
Lower is healthier
ST99thUS99thDefinition & source ›
The EPA’s modeled screening score for industrial chemical releases, weighting the amounts released by their toxicity and how many people live nearby — a relative comparison score, not a measured exposure.
Full methodology ›Outer-floodplain exposure
10.9%
in the top 3.5% nationally
Lower is healthier
ST97thUS97thDefinition & source ›
The share of this ZIP’s land area inside FEMA’s 0.2%-annual-chance flood band — the “500-year” zone, a lower but real 1-in-500 yearly chance.
Measured from FEMA’s mapped flood panels. Where a panel has not been mapped, no value is published for that ZIP — those ZIPs are absent from this comparison rather than counted as unexposed.
Full methodology ›Transit access
4.9 per 1,000 residents
in the top 5.4% nationally
Higher is healthier
ST97thUS95thDefinition & source ›
The number of public-transit stops inside this ZIP’s boundary, per 1,000 residents.
Counted from establishments located inside this ZIP’s boundary, so one just across the line is not counted. Where a ZIP has too few residents for the density to be reliable, no value is published rather than an unreliable one.
Full methodology ›Utility shut-off threat
15.8%
in the top 5.9% nationally
Lower is healthier
ST95thUS94thDefinition & source ›
The estimated share of adults whose household was threatened with a utility shut-off in the past 12 months.
Full methodology ›Obesity
45%
in the top 4.4% nationally
Lower is healthier
ST92ndUS96thDefinition & source ›
The estimated share of adults with obesity, defined as a body-mass index of 30 or higher.
Full methodology ›Binge drinking
11.8%
in the bottom 5.8% nationally
Lower is healthier
ST9thUS6thDefinition & source ›
The estimated share of adults who report binge drinking — five or more drinks on one occasion for men, four or more for women.
Full methodology ›Independent-living disability
12.7%
in the top 7.9% nationally
Lower is healthier
ST86thUS92ndDefinition & source ›
The estimated share of adults who have difficulty doing errands alone, such as visiting a doctor’s office, because of a physical, mental, or emotional condition.
Full methodology ›Subsidized affordable housing
332 units
in the top 7.3% nationally
Higher is healthier
ST97thUS93rdDefinition & source ›
The number of affordable rental units in this ZIP supported by the federal Low-Income Housing Tax Credit program.
Full methodology ›Air-toxics cancer risk
38.1 per million
in the top 7.9% nationally
Lower is healthier
ST99thUS92ndDefinition & source ›
The EPA’s modeled estimate of added lifetime cancer risk from breathing outdoor air toxics, in cases per million people exposed over a lifetime.
Full methodology ›Mobility disability
22.3%
in the top 8.7% nationally
Lower is healthier
ST76thUS91stDefinition & source ›
The estimated share of adults with serious difficulty walking or climbing stairs.
Full methodology ›The read
Overall, ZIP 74127, one of several in Tulsa, Oklahoma lands in the bottom 6.1% nationally (30,137th) and the bottom 15% of Oklahoma (537th).
Where the load on this area runs deepest, the data leads: modeled industrial-pollution burden rests in the top 0.5% nationally, and outer-floodplain exposure stands in the top 3.5% nationally. Modeled utility shutoff lies in the top 5.9% nationally, and obesity lands in the top 4.4% nationally. Modeled independent living disability sits in the top 7.9% nationally, and air-toxics cancer risk is in the top 7.9% nationally. More encouragingly, transit settles in the top 5.4% nationally. Distance to an emergency room resides at the national minimum, shared with about 11% of ZIPs. Modeled binge drinking registers in the bottom 5.8% nationally, and subsidized affordable housing rests in the top 7.3% nationally.
Set beside the nearby areas, industrial-pollution burden runs far higher than the surrounding ZIPs on this measure. A note on the terms: industrial-pollution burden is the EPA's modeled screening score weighting industrial chemical releases by their toxicity and how many people live nearby. Air-toxics cancer risk is a modeled EPA estimate of added lifetime cancer risk from breathing outdoor air, per million people. Outer-floodplain exposure is land with a lower but real 1-in-500 chance of flooding each year, nicknamed the "500-year floodplain". For a healthier nearby comparison, ZIP 74063, just across the boundary, ranks better overall.
What’s driving this score
Nine domains make up the ZipVitals Score — here is how this ZIP does on each, and how much each one counts. Compare it against the US, this state and the Tulsa, OK metro area.
Compared with the ZIP codes measured across all nine scoring domains — not with all US ZIP codes.
Lifting this score
Healthcare Access
healthier than 89%
5%
Holding it back
Chronic Disease Burden
healthier than 13%
21%
Social Need / SDOH
healthier than 13%
16%
Environmental Hazard
in the bottom 0.6%
14%
Preventive Care
healthier than 18%
13%
Risk Behavior
healthier than 18%
11%
Mental Health
healthier than 12%
8%
Disability
healthier than 8%
7%
Climate / Disaster Risk
healthier than 20%
5%
Lifting this score
Climate / Disaster Risk
healthier than 63%
5%
Healthcare Access
healthier than 90%
5%
About typical
Preventive Care
healthier than 42%
13%
Holding it back
Chronic Disease Burden
healthier than 31%
21%
Social Need / SDOH
healthier than 22%
16%
Environmental Hazard
in the bottom 0.3%
14%
Risk Behavior
healthier than 32%
11%
Mental Health
healthier than 16%
8%
Disability
healthier than 20%
7%
Lifting this score
Healthcare Access
healthier than 93%
5%
About typical
Preventive Care
healthier than 42%
13%
Climate / Disaster Risk
healthier than 55%
5%
Holding it back
Chronic Disease Burden
healthier than 18%
21%
Social Need / SDOH
healthier than 21%
16%
Environmental Hazard
healthier than 1%
14%
Risk Behavior
healthier than 30%
11%
Mental Health
healthier than 21%
8%
Disability
healthier than 17%
7%
“Share” is how much of this ZIP’s score the domain accounts for. Percentages are rounded; higher is healthier in every domain. How the score works, and who it compares you with ›
Findings that name this ZIP
3 of our published findings list this ZIP code. Each finding compares one published measure against a stated benchmark, and names only the ZIP codes whose estimates are reliable enough to rank. See all surprising findings.
Below what income predicts
The ZIP codes that outlive their incomes
Estimated life expectancy is 72.2 ± 1.2 years. A median household income of $46,373 predicts 77.0 years — 4.8 years below.
Ranked #5,482 of the 5,842 ZIP codes this finding names, ordered by years above what income predicts, highest first.
Below its nearby ZIPs
The ZIP codes that outlive their neighbors
Estimated life expectancy is 72.2 ± 1.2 years. The 49 nearest ZIP codes with estimates average 76.5 years — 4.3 years below them.
Ranked #3,135 of the 3,687 ZIP codes this finding names, ordered by years above the nearby-ZIP average, highest first.
Highest-risk tenth
Air toxics and the years between the two ends of the risk scale
Modeled air-toxics cancer risk is 38.1 cases per million — among the tenth of compared ZIP codes with the most. Estimated life expectancy is 72.2 ± 1.2 years.
Ranked #1,729 of the 4,173 ZIP codes this finding names, ordered by modeled air-toxics risk, highest first.
Nearby & similar ZIPs
Editorially selected — see how this ZIP compares to nearby and similar places.
Nearby
74063
Oklahomashares a border
Score 43.56
Closest healthier
74103
Oklahomashares a border
Score 44.46
Similar health profile
74072
Oklahoma98% similar profile
Score 38.90
How these were chosen: only ZIPs with a published Score appear — a nearby ZIP with too little data to score won’t. Nearby means closest by distance between ZIP boundaries, which can cross state lines. A similar health profile is a close match across the nine Score domains, not similar demographics. Distances are measured between ZIP boundaries — ZIPs that touch share a border. How distance is measured
Evidence
Every measure this page draws on, by source. Collapsed by default — the full data stays in the page for search engines either way.
Health OutcomesCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Arthritis among adults | 30.7% | 28.7–33.1 |
| High blood pressure among adults | 45.1% | 42.7–47.9 |
| Cancer (non-skin) or melanoma among adults | 7.4% | 6.8–7.9 |
| Current asthma among adults | 12.9% | 11.9–14.2 |
| Coronary heart disease among adults | 8.9% | 8.2–9.6 |
| Chronic obstructive pulmonary disease among adults | 10.6% | 9.7–11.6 |
| Depression among adults | 27.0% | 24.7–29.6 |
| Diagnosed diabetes among adults | 16.5% | 15.1–18.2 |
| High cholesterol among adults who have ever been screened | 38.0% | 35.4–40.9 |
| Obesity among adults | 45.0% | 41.0–49.3 |
| Stroke among adults | 5.2% | 4.8–5.6 |
| All teeth lost among adults aged >=65 years | 23.0% | 20.4–26.0 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 13.0% | 11.6–14.6 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 79.3% | 77.5–81.1 |
| Visits to doctor for routine checkup within the past year among adults | 78.9% | 76.6–81.1 |
| Cholesterol screening among adults | 84.0% | 82.6–85.5 |
| Colorectal cancer screening among adults aged 45–75 years | 60.3% | 56.9–63.7 |
| Visited dentist or dental clinic in the past year among adults | 50.8% | 48.1–53.6 |
| Mammography use among women aged 50-74 years | 70.6% | 65.4–75.7 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 11.8% | 10.4–13.4 |
| Current cigarette smoking among adults | 20.2% | 18.3–22.2 |
| No leisure-time physical activity among adults | 37.5% | 34.6–40.9 |
| Short sleep duration among adults | 39.4% | 35.8–43.3 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 27.3% | 25.2–29.7 |
| Frequent mental distress among adults | 19.7% | 18.2–21.6 |
| Frequent physical distress among adults | 16.9% | 15.6–18.5 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 20.1% | 18.5–21.9 |
| Any disability among adults | 45.0% | 42.2–48.2 |
| Hearing disability among adults | 9.8% | 9.1–10.7 |
| Independent living disability among adults | 12.7% | 11.7–13.8 |
| Mobility disability among adults | 22.3% | 20.7–24.3 |
| Self-care disability among adults | 6.4% | 6.0–7.0 |
| Vision disability among adults | 8.6% | 8.0–9.3 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 28.5% | 25.6–31.4 |
| Food insecurity in the past 12 months among adults | 26.6% | 24.1–29.3 |
| Received food stamps in the past 12 months among adults | 25.6% | 22.9–28.4 |
| Housing insecurity in the past 12 months among adults | 19.7% | 17.7–21.7 |
| Lack of reliable transportation in the past 12 months among adults | 13.4% | 12.2–14.7 |
| Loneliness among adults | 36.0% | 32.6–39.3 |
| Utility services shut-off threat in the past 12 months among adults | 15.8% | 14.2–17.4 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | OK median (p10–p90) |
|---|---|---|---|
| Poverty rate | 22.5% | 10.6% (3.1–25.8%) n=32,364 | 16.3% (6.5–26.1%) n=643 |
| Uninsured 18–64 | 24.6% | 9.0% (1.5–24.3%) n=32,286 | 19.4% (9.5–30.7%) n=643 |
| No HS diploma (25+) | 12.7% | 7.9% (1.8–20.7%) n=32,505 | 10.9% (4.8–18.9%) n=644 |
| Bachelor's or higher (25+) | 23.3% | 23.3% (9.2–53.6%) n=32,505 | 18.4% (9.0–38.4%) n=644 |
| Unemployment rate (16+) | 7.0% | 3.9% (0.0–9.8%) n=32,274 | 4.3% (0.4–8.8%) n=643 |
| Households without a vehicle | 8.6% | 3.9% (0.0–12.5%) n=32,322 | 3.6% (0.0–9.0%) n=643 |
| Broadband subscription | 86.5% | 89.3% (75.1–97.1%) n=32,322 | 85.4% (70.2–95.0%) n=643 |
| Housing cost burden (≥30% income) | 34.4% | 23.7% (10.6–40.0%) n=32,322 | 20.0% (9.5–31.0%) n=643 |
| Homeownership rate | 57.5% | 78.7% (51.7–94.0%) n=32,322 | 78.2% (56.5–91.0%) n=643 |
| Crowded housing (>1 per room) | 3.4% | 1.3% (0.0–6.3%) n=32,322 | 2.3% (0.0–6.1%) n=643 |
| Foreign-born population | 3.4% | 2.6% (0.0–18.6%) n=32,553 | 1.9% (0.0–9.3%) n=645 |
| Single-parent households | 46.7% | 53.6% (37.3–74.1%) n=32,087 | 51.7% (39.5–66.1%) n=640 |
| Population 65+ | 17.2% | 19.4% (10.8–33.6%) n=32,553 | 18.4% (11.9–29.5%) n=645 |
| Median age | 39.1 yr | 42.2 yr (33.0–56.3) n=32,292 | 40.3 yr (33.1–52.0) n=642 |
| Median household income | $46,373 | $72,070 ($46,039–$118,707) n=30,318 | $58,728 ($43,042–$88,542) n=616 |
| Median home value | $134,200 | $222,200 ($100,300–$579,820) n=30,049 | $142,200 ($83,960–$248,900) n=615 |
| Median gross rent | $959 | $1,021 ($677–$1,912) n=25,670 | $839 ($628–$1,136) n=546 |
Life expectancyNCHS / RWJF USALEEP · model-based
| Measure | Value | US median (p10–p90) | OK median (p10–p90) |
|---|---|---|---|
| Life expectancy at birth | 72.2 yr ± 0.62 | 78.9 yr (74.7–82.8) n=31,308 | 77.2 yr (73.6–81.3) n=638 |
About the ± — it’s this estimate’s give-or-take (statisticians call it the standard error). The true life expectancy for this ZIP most likely falls within 0.62 years of 72.2, and it’s very unlikely to be off by more than twice that.
More ZIPs to explore ▾More ZIPs to explore ▴
How these lists were built: they draw only from ZIPs that have a published Score, so ZIPs with too little data to score are not listed. Distance-based lists use distance between ZIP boundaries with no state filter, so an out-of-state ZIP can appear. Statistically similar means a close match across the nine Score domains, not a demographic match: the measure is the cosine similarity between two ZIPs’ domain scores, taken over the domains both ZIPs have data for and only where that overlap covers at least six of the nine — and where no ZIP clears that minimum-overlap floor, that list is left out rather than filled with a weak match. How distance is measured